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Enregistrement W4280506915 · doi:10.1001/jama.2022.5368

Effect of Oral Methylprednisolone on Decline in Kidney Function or Kidney Failure in Patients With IgA Nephropathy

2022· article· en· W4280506915 sur OpenAlexafffundabout
Jicheng Lv, Muh Geot Wong, Michelle Hladunewich, Vivekanand Jha, Lai Seong Hooi, Helen Monaghan, Ming‐Hui Zhao, Sean Barbour, Meg Jardine, Heather N. Reich, Daniel C. Cattran, Richard J. Glassock, Adeera Levin, David C. Wheeler, Mark Woodward, Laurent Billot, Sandrine Stepien, Kris Rogers, Tak Mao Chan, David W. Johnson, Alan Cass, John Feehally, Jürgen Floege, Giuseppe Remuzzi, Yangfeng Wu, Rajiv Agarwal, Hong Zhang, Vlado Perkovic, Mona Razavian, Martin Gallagher, Frances Daley, Samantha Hand, Helen Knight, Sarah Gallagher, Bhadran Bose, Craig Lawlor, Junie McCourt, Chen Au Peh, Eileen Scott, Robert J. Carroll, Toby Coates, Bronwyn Hockley, Jenny Latte, Kathy Nicholls, Michael MX Cai, Paul Champion de Crespigny, Thérèse Cronin, Maria Farrell, Peter Hughes, Rosemary Masterson, Gloria Sepe, Sven‐Jean Tan, Nigel D. Toussaint, Rachel Wollstencroft, Bruce A. Cooper, Marjorie Chang, H. Clayton, Stephanie Tan, Heidi Tsang, Joanna Sudak, Louis P Laurin, Vincent Pichette, Karine Chausse, Martine Comeau, L. Lepine, Marie Soliel, Stéphanie Beauchemin, Émilie René, Marceline Quach, Karine Daoust, Ariane Lessard, Maude Bachand-Fournier, Marysa Bétournay, Marie-Soleil Paradis, Mukelda Mikye Castor, Susan Huang, Louise Moist, Kerri Gallo, Rachel VanWesenbeeck, Teresa Longfield, F. H. Norris, Amy Moyer, Z Lozon, Matthew Miller, Catherine M. Clase, Christian G. Rabbat, Madison Salisbury, Andrea Mazzetti Vieira, Faraz Lalji, Cathy Moreau, Neesh Pannu, Ainslie Hildebrand, Nancy Ruholl, Nasreen Ahmad, Maliha Muneer, Louise Girard, Michelle Mann, Brenda R. Hemmelgarn, Braden Manns, Pietro Ravani, S. Li, Janice Mackay, Sharon Gulewich, Zainab Sheriff, Jack Ferera, Katy Vela, Anny Gonzalez, A. Bhasin, Ping Lam, Fatima Haji, Sufang Shi, Lijun Liu, Yunfei Bao, Caili Wang, Zengyan Li, Li Lv, Lan Yang, Haitao Li, Zhangsuo Liu, Junjun Zhang, Bo Huang, Yang Yang, Shuxia Fu, Shaomei Li, Huaying Pei, Limin Zhang, Ning Lu, Jifang Xu, Longyun Xu, Qian Yang, Jingwei Jin, Nan Chen, Weiming Wang, lili Xu, Ziru Xia, Huan Xu, Wei Huang, Yiwen Mo, Weihong Chen, Lihua Wang, Rongshan Li, Shulei Yao, Xiaoxia Li, Zhaohui Ni, Ling Wang, Leyi Gu, Huihua Pang, Yin Zhou, Yan Jin, Haitao Zhang, Xia Wang, Weibo Le, Jinhua Hou, Xia Song, Ling Zhu, Jinghong Zhao, Weiping Hou, Jing Wu, Yu Shi, Jianshe Liu, Chun Zhang, Cheng Wan, Shan Chen, Hongyan Zhu, Fang Tang, Hui Li, Xuan Jiang, Mei Wang, Zuo Li, Yu Yan, Bao Dong, Yina Wang, Xuan Zhang, Li Hong Bai, Peng Li, Qi Dong, Zhiying Cai, Guisen Li, Li Wang, Kung Peng, Daqing Hong, D. -L. Yao, Aihua Jiang, Qiong Luo, Shuang Hou, Fan Zhang, Lei Zheng, Yuanchang Luo, Guangyan Cai, Shuwei Duan, Yan Zhang, Shuang Liang, Xiaolei Shao, Rong Wang, Xiang Liu, Ying Xu, Jing Zhang, Jianghua Chen, Jun Cheng, Lingfei Zhao, Xiaoying Du, Hongyu Chen, Bin Zhu, Weili Pan, Ya-Long Ma, Chenmin Cui, Qingxiao Zhang, Jiawei Zhang, Ping Fu, Xi Tang, Wei Qin, Yaping Liang, Detian Li, Guangping Sun, Xiaoxiao Su, Baixue Zhao, Qiang He, Xiaogang Shen, Danna Zheng, Yi Sun, Hua Zheng, Wei Zheng, Fuming Lu, Lingyun Lai, Minmin Zhang, Ningxin Xu, Huizhu Shi, Wangsheng Chen, Xinling Liang, Zhiming Ye, Lixia Xu, Ruijing Zhang, Yiming Tao, Dongmei Xu, Lijun Tang, Guohua Ding, Huiming Wang, Lihua Yang, Zhengkang Li, Zhao Hu, Bei Jiang, Zhiling Guo, Jie Chang, Qingmiao Wang, Nan Li, Aiping Zhang, Shumei Shi, Zhen Li, Hong Xu, Beiyan Bao, Yu Zhao, Zhuan Nie, Ting Liu, Yue Wang, Zhen Cui, Chunyan Su, Li Gong, Guoping Liu, Lei Yu, Bo Wang, Dan Xu, Ying Li, Qiongzhen Lin, Ke Yu, Yipu Shen, Hong Cheng, Xiaoyi Xu, Yu Wang, Rong Liu, Gang Xu, Min Han, Le Wang, Changying Xing, Chengning Zhang, Zhiming Huang, Guang Yang, Xueqiang Xu, Xiaolin Lv, Hong Hui-ping, Bing Liu, Tao Lin, Xiaoxuan Zhang, Huijie Yang, Xiaochun Yang, Xiaodong Zhang, Haifeng Yang, Yonghui Mao, Hua Wu, Tianhui Li, Haitao Wang, Ban Zhao, Hongli Lin, Ning Yang, K Samuel Fung, Raquel Pei Chen Chan, Rebecca M. Law, Sreelatha Melemadathil, Hijaz PT, Rahila Razak, K C Sinta, Gopalakrishnan Natarajan, Junaith Mohammed, D. Thanigachalam, Sreebhushan R Devaraju, Satheesh Reddy Alavala, Anvesh Golla, Vamsi Krishna Nagalla, Nallagasu Raju, Manisha Sahay, Sravani Borra, Rakesh Sahay, LV Krishna Suri Dasyam, Mounika Kumbagiri, Prasad MSLN, Arfa Nazneen, KVL Prathyusha, Raja Ramachandran, Krishan Lal Gupta, Thakaur Sain, Narayan Prasad, Dharmendra Bhaduria, Ashok K Pandy, Pratik Singh, Mohamad Zaimi Abdul Wahab, Zurina Che Rohani, Haiyuni Mohd Yassim, Siti Nur Omaira Razali, Norhaslinda Saaidi, W.M. Wan Hazlina, Rosnawati Yahya, S.Y. Yee, Nurul Zaynah, Nurul Hizwani Azahar, Hui Foong Tan, Chek Loong Loh, Saliza Hashim, Yee Yan Lee, Xin-Jie Lim, Norlia Mohd Khairi, Kah Mean Thong, Wen Jiun Liu, Lik Wee Ee, Yuana Mohd Yusoff, Laura Lui Sian Ngu, Nyuk Suan Chai, Lawrence Wei Soon Hii, Clare Hui Hong Tan, Sharifah Hatijah Wan Japar, Lily Mushahar, Siti Hawa Md Yusuff, Maisarah Noor, Kok Peng Ng, Soo Kun Lim, Wan Ahmad Faizal Alaidin Razali, Wan Ahmad Hafiz Wan Md Adnan, David Jayne, Tom Greene, Michael Walsh, Angela Yee‐Moon Wang, Amanda Mather, Ying Wang

Notice bibliographique

RevueJAMA · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueRenal Diseases and Glomerulopathies
Établissements canadiensUniversity Health NetworkUniversity of British ColumbiaHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésMedicineNephropathyRenal functionKidneyMethylprednisoloneInternal medicineEndocrinologyDiabetes mellitus

Résumé

récupéré en direct d'OpenAlex

Importance: The effect of glucocorticoids on major kidney outcomes and adverse events in IgA nephropathy has been uncertain. Objective: To evaluate the efficacy and adverse effects of methylprednisolone in patients with IgA nephropathy at high risk of kidney function decline. Design, Setting, and Participants: An international, multicenter, double-blind, randomized clinical trial that enrolled 503 participants with IgA nephropathy, proteinuria greater than or equal to 1 g per day, and estimated glomerular filtration rate (eGFR) of 20 to 120 mL/min/1.73 m2 after at least 3 months of optimized background care from 67 centers in Australia, Canada, China, India, and Malaysia between May 2012 and November 2019, with follow-up until June 2021. Interventions: Participants were randomized in a 1:1 ratio to receive oral methylprednisolone (initially 0.6-0.8 mg/kg/d, maximum 48 mg/d, weaning by 8 mg/d/mo; n = 136) or placebo (n = 126). After 262 participants were randomized, an excess of serious infections was identified, leading to dose reduction (0.4 mg/kg/d, maximum 32 mg/d, weaning by 4 mg/d/mo) and addition of antibiotic prophylaxis for pneumocystis pneumonia for subsequent participants (121 in the oral methylprednisolone group and 120 in the placebo group). Main Outcomes And Measures: The primary end point was a composite of 40% decline in eGFR, kidney failure (dialysis, transplant), or death due to kidney disease. There were 11 secondary outcomes, including kidney failure. Results: Among 503 randomized patients (mean age, 38 years; 198 [39%] women; mean eGFR, 61.5 mL/min/1.73 m2; mean proteinuria, 2.46 g/d), 493 (98%) completed the trial. Over a mean of 4.2 years of follow-up, the primary outcome occurred in 74 participants (28.8%) in the methylprednisolone group compared with 106 (43.1%) in the placebo group (hazard ratio [HR], 0.53 [95% CI, 0.39-0.72]; P < .001; absolute annual event rate difference, -4.8% per year [95% CI, -8.0% to -1.6%]). The effect on the primary outcome was seen across each dose compared with the relevant participants in the placebo group recruited to each regimen (P for heterogeneity = .11): full-dose HR, 0.58 (95% CI, 0.41-0.81); reduced-dose HR, 0.27 (95% CI, 0.11-0.65). Of the 11 prespecified secondary end points, 9 showed significant differences in favor of the intervention, including kidney failure (50 [19.5%] vs 67 [27.2%]; HR, 0.59 [95% CI, 0.40-0.87]; P = .008; annual event rate difference, -2.9% per year [95% CI, -5.4% to -0.3%]). Serious adverse events were more frequent with methylprednisolone vs placebo (28 [10.9%] vs 7 [2.8%] patients with serious adverse events), primarily with full-dose therapy compared with its matching placebo (22 [16.2%] vs 4 [3.2%]). Conclusions and Relevance: Among patients with IgA nephropathy at high risk of progression, treatment with oral methylprednisolone for 6 to 9 months, compared with placebo, significantly reduced the risk of the composite outcome of kidney function decline, kidney failure, or death due to kidney disease. However, the incidence of serious adverse events was increased with oral methylprednisolone, mainly with high-dose therapy. Trial Registration: ClinicalTrials.gov Identifier: NCT01560052.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,246
Écart entre enseignants0,240 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations331
Publié2022
Routes d'admission3
Résumé présentoui

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